import time
import random
import json
import os
from datetime import datetime

def device_diagnostics(device_id):
    """
    设备诊断功能
    """
    print(f"开始设备诊断: {device_id}")
    
    # 模拟诊断过程
    diagnostic_results = {
        "device_id": device_id,
        "timestamp": datetime.now().isoformat(),
        "status": "running",
        "progress": 0,
        "results": {}
    }
    
    # 模拟诊断步骤
    diagnostic_steps = [
        "检查设备连接状态",
        "检查电池状态",
        "检查传感器状态", 
        "检查GPS信号",
        "检查遥控器连接",
        "检查存储空间",
        "检查网络连接",
        "生成诊断报告"
    ]
    
    for i, step in enumerate(diagnostic_steps):
        time.sleep(0.5)  # 模拟处理时间
        progress = int((i + 1) / len(diagnostic_steps) * 100)
        
        # 模拟随机结果
        if random.random() > 0.1:  # 90%概率正常
            status = "正常"
        else:
            status = "异常"
            
        diagnostic_results["results"][step] = status
        diagnostic_results["progress"] = progress
        
        print(f"诊断进度: {progress}% - {step}: {status}")
    
    diagnostic_results["status"] = "completed"
    print(f"设备诊断完成: {device_id}")
    
    return {
        "success": True,
        "message": "设备诊断完成",
        "data": diagnostic_results
    }

def system_optimization(device_id):
    """
    系统优化功能
    """
    print(f"开始系统优化: {device_id}")
    
    optimization_results = {
        "device_id": device_id,
        "timestamp": datetime.now().isoformat(),
        "status": "running",
        "progress": 0,
        "optimizations": []
    }
    
    # 模拟优化步骤
    optimization_steps = [
        "清理临时文件",
        "优化内存使用",
        "检查并修复文件系统",
        "优化网络设置",
        "更新系统缓存",
        "优化飞行参数",
        "校准传感器",
        "完成优化"
    ]
    
    for i, step in enumerate(optimization_steps):
        time.sleep(0.3)  # 模拟处理时间
        progress = int((i + 1) / len(optimization_steps) * 100)
        
        # 模拟优化结果
        improvement = random.randint(5, 25)
        optimization_results["optimizations"].append({
            "step": step,
            "improvement": f"+{improvement}%"
        })
        optimization_results["progress"] = progress
        
        print(f"优化进度: {progress}% - {step}: +{improvement}%")
    
    optimization_results["status"] = "completed"
    print(f"系统优化完成: {device_id}")
    
    return {
        "success": True,
        "message": "系统优化完成",
        "data": optimization_results
    }

def data_backup(device_id, backup_type="full"):
    """
    数据备份功能
    """
    print(f"开始数据备份: {device_id}, 类型: {backup_type}")
    
    backup_results = {
        "device_id": device_id,
        "backup_type": backup_type,
        "timestamp": datetime.now().isoformat(),
        "status": "running",
        "progress": 0,
        "files_backed_up": 0,
        "total_size": "0 MB"
    }
    
    # 模拟备份过程
    backup_steps = [
        "准备备份环境",
        "扫描需要备份的文件",
        "备份飞行日志",
        "备份系统配置",
        "备份用户数据",
        "备份固件设置",
        "验证备份完整性",
        "完成备份"
    ]
    
    total_files = random.randint(50, 200)
    total_size = random.randint(100, 500)
    
    for i, step in enumerate(backup_steps):
        time.sleep(0.4)  # 模拟处理时间
        progress = int((i + 1) / len(backup_steps) * 100)
        
        # 模拟文件备份进度
        files_backed = int((i + 1) / len(backup_steps) * total_files)
        current_size = int((i + 1) / len(backup_steps) * total_size)
        
        backup_results["progress"] = progress
        backup_results["files_backed_up"] = files_backed
        backup_results["total_size"] = f"{current_size} MB"
        
        print(f"备份进度: {progress}% - {step}: {files_backed}/{total_files} 文件, {current_size}MB")
    
    backup_results["status"] = "completed"
    print(f"数据备份完成: {device_id}")
    
    return {
        "success": True,
        "message": "数据备份完成",
        "data": backup_results
    }

def flight_data_analysis(device_id, date_range="7d"):
    """
    飞行数据分析功能
    """
    print(f"开始飞行数据分析: {device_id}, 时间范围: {date_range}")
    
    analysis_results = {
        "device_id": device_id,
        "date_range": date_range,
        "timestamp": datetime.now().isoformat(),
        "status": "running",
        "progress": 0,
        "analysis": {}
    }
    
    # 模拟分析步骤
    analysis_steps = [
        "收集飞行数据",
        "分析飞行轨迹",
        "统计飞行时间",
        "分析电池使用情况",
        "检查异常事件",
        "生成性能报告",
        "创建可视化图表",
        "完成分析"
    ]
    
    for i, step in enumerate(analysis_steps):
        time.sleep(0.6)  # 模拟处理时间
        progress = int((i + 1) / len(analysis_steps) * 100)
        
        # 模拟分析结果
        if "飞行时间" in step:
            analysis_results["analysis"]["total_flight_time"] = f"{random.randint(10, 50)} 小时"
        elif "电池" in step:
            analysis_results["analysis"]["avg_battery_usage"] = f"{random.randint(60, 85)}%"
        elif "异常" in step:
            analysis_results["analysis"]["anomaly_count"] = random.randint(0, 5)
        
        analysis_results["progress"] = progress
        print(f"分析进度: {progress}% - {step}")
    
    analysis_results["status"] = "completed"
    print(f"飞行数据分析完成: {device_id}")
    
    return {
        "success": True,
        "message": "飞行数据分析完成",
        "data": analysis_results
    }

def network_test(device_id):
    """
    网络连接测试功能
    """
    print(f"开始网络连接测试: {device_id}")
    
    test_results = {
        "device_id": device_id,
        "timestamp": datetime.now().isoformat(),
        "status": "running",
        "progress": 0,
        "tests": {}
    }
    
    # 模拟网络测试步骤
    test_steps = [
        "测试WiFi连接",
        "测试GPS信号",
        "测试遥控器连接",
        "测试图传信号",
        "测试数据上传",
        "测试固件更新连接",
        "测试云服务连接",
        "完成网络测试"
    ]
    
    for i, step in enumerate(test_steps):
        time.sleep(0.2)  # 模拟处理时间
        progress = int((i + 1) / len(test_steps) * 100)
        
        # 模拟测试结果
        if random.random() > 0.15:  # 85%概率正常
            status = "正常"
            signal_strength = random.randint(70, 100)
        else:
            status = "异常"
            signal_strength = random.randint(20, 60)
            
        test_results["tests"][step] = {
            "status": status,
            "signal_strength": f"{signal_strength}%"
        }
        test_results["progress"] = progress
        
        print(f"网络测试进度: {progress}% - {step}: {status} ({signal_strength}%)")
    
    test_results["status"] = "completed"
    print(f"网络连接测试完成: {device_id}")
    
    return {
        "success": True,
        "message": "网络连接测试完成",
        "data": test_results
    }

def other_functions(device_id, function_type):
    """
    其他功能的主入口函数
    """
    print(f"执行其他功能: {function_type}, 设备ID: {device_id}")
    
    if function_type == "diagnostics":
        return device_diagnostics(device_id)
    elif function_type == "optimization":
        return system_optimization(device_id)
    elif function_type == "backup":
        return data_backup(device_id)
    elif function_type == "analysis":
        return flight_data_analysis(device_id)
    elif function_type == "network_test":
        return network_test(device_id)
    else:
        return {
            "success": False,
            "message": f"未知功能类型: {function_type}",
            "data": None
        } 